Data Scientist needed at Capitec

Capitec strives to be a client centric organisation, being prepared for client’s future needs while meeting their needs today. This is an exciting opportunity since you’ll become part of the data and analytics department that are busy building a trusted AI bank. You’ll be a part of a feature team with the right skills and support to deliver value to clients.
Our Data Science team leverages machine learning through a well-defined Data Science Life Cycle to solve business problems and proactively meet business requirements. This includes a set of principles aimed at ensuring ethical model development and reducing unintended consequences of models.
As a data scientist, you have full access to all available data and you’ll be experimenting with, and build machine learning models utilizing existing frameworks such as Keras, H20, Pytorch, Spark and Scikit-learn. You will be involved in the design of end-to-end solutions, and not just focusing on model building in isolation, while having dedicated support to get these models into production. You’ll work in a strong and collaborative environment with both business partners and other data scientists. You will also be excited about the opportunity as there is dedicated time during office hours for research and skills development, knowledge sharing and internal hackathons.
We are excited about you because you have a natural curiosity and enthusiasm for understanding clients as well as an appreciation for, and focus on, ethical data science. You think about the impact that your work can have on people’s lives. You value diversity, teamwork, collaboration and team learning, but you can work independently when the need arises. On top of that, you enjoy remaining up-to-date with advancements in the field of data science and are passionate about implementing these.
– Please note that this job may expire at any time, for operational reasons. Advert closing dates may vary from those published on job boards and third party sites. Please double-check the closing date before applying
Apply before Monday, April 8, 2019 – 61 Days left
Companies may expire jobs at their own discretion.
If you have not received a response within two weeks, your application was most likely unsuccessful.
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